Impact of Calcium and Potassium Currents on Spiral Wave Dynamics in the LR1 Model by Xiaoping Yuan, Qianqian Zheng

“…We demonstrate that reducing gate variables accelerates wave propagation, thins spiral arms, and shortens action potential duration, ultimately inducing dynamic instability. …”
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Epidemiological trends and age-period-cohort effects on subarachnoid hemorrhage burden across the BRICS-plus from 1992 to 2021 by Liang Guo, Liang Guo, Liang Guo, Liang Guo, Liang Guo, Dan Song, Dan Song, Dan Song, Dan Song, Dan Song, Li Chen, Li Chen, Li Chen, Li Chen, Li Chen, Ying Huang, Ying Huang, Ying Huang, Ying Huang, Ying Huang

“…A significant negative correlation was observed between the incidence rate of SAH and SDI values. Nations displayed similar age-effect patterns characterized by initial declines followed by subsequent increases with advancing age, along with distinct period and cohort effects that may reflect variations in control measures and temporal burden patterns.ConclusionOur study demonstrates the overall decline in age standardized incidence rate of SAH, while highlighting the persistent health inequalities among eleven countries potentially attributable to socioeconomic disparities. …”
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Flow Characteristics and Loss Mechanism of Tip Leakage Flow in Mining Contra-Rotating Axial Flow Fan by Yongping Chen, Ronghua Liu, Wenqing Peng, Shiqiang Chen

“…Therefore, numerical simulations and experimental methods were employed to obtain the internal flow field of the mining counter-rotating axial flow fan, and the influence of flow rate on the tip leakage flow pattern was mastered. …”
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An after-action review of COVID-19 cases and mitigation measures at US Mission India, March 2020-July 2021. by Jaspreet Singh, Rajesh Yadav, Samantha Robinson, Mark Vanelli, Melissa Nyendak, Meghna Desai

“…The Health Unit identified 2,484 contacts with a 25% positivity rate. The attack rates ranged between 10-19%, with the highest at 19% in Delhi, which was lower compared to the estimated attack rate for respective cities but closely resembled the pattern of COVID-19 waves in India. …”
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Morphology and calcification characterization in patients undergoing TAVI: A 3D statistical shape modelling study. by Raphaël Sivera, Ebba Montgomery-Liljeroth, Yaxi Chen, Silvia Schievano, Jan Brüning, Wouter Huberts, Anthony Mathur, Andrew Cook, Kush Patel, Claudio Capelli

“…The 3D modelling of the valve calcification rate matched previous clinical descriptions; including the crescent shapes visible on each leaflet and the higher calcification rate of the non-coronary cusp. …”
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High-sensitivity interlayer force measurement and multi-layer smoothing control for 3D printing on uneven surfaces by Shinichi Ishikawa, Ryo Yamada, Ryosuke Tasaki

“…In this research, a 3D printing system by controlling the nozzle feed rate was implemented to realize adaptive deposition motion for non-planar surfaces. …”
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Evaluating the Physics of Outcrop‐To‐Outcrop Flow With Hydrothermal Flow Models by I. Kremin, Z. Guo, L. Rüpke

“…We have also investigated how different flow patterns, resulting from changes in these parameters, manifest themselves in seafloor observables such as flow rates, aquifer temperatures, and heat flow. …”
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Evaluation of physiological functions and production performance in laying hens in three different housing systems by Gaku Shoji, Ryota Tochinai, Shin-ichi Sekizawa, Masayoshi Kuwahara

“…Also, to evaluate autonomic nervous function of hens as a way to investigate stress and welfare of hens on poultry farms, we analyzed heart rate variability (HRV). Hens in all three groups showed the diurnal HR and LA patterns. …”
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Dissecting resilience curve archetypes and properties in human systems facing weather hazards by Chia-Wei Hsu, Ali Mostafavi

“…The results also reveal critical thresholds, such as the bimodal recovery breakpoint at a 20% impact extent (i.e., function loss), at which the recovery rate decreases, and the critical functional threshold at a 60% impact extent, above which recovery rate would be rather slow. …”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…It achieves a high detection rate of 94.2% for known attacks and 82.7% for zero-day exploits, while maintaining a low false positive rate of 3.8%. …”
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An Improved YOLOv5 Model for Lithographic Hotspot Detection by Mu Lin, Wenjing He, Jiale Liu, Fencheng Li, Jun Luo, Yijiang Shen

“…In this paper, we propose a hotspot detection method to improve the precision and recall rate of the fatal pinching and bridging error due to the poor printability of certain layout patterns by embedding a spatial attention mechanism into the YOLOv5 model. …”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

“…It also proposes the Solar FaultNet‐a novel deep learning‐based approach that significantly improves fault detection performance in solar PV systems and integrates the model with state‐of‐the‐art ML techniques like CNN and LSTM to capture inherent complex patterns and interdependencies of fault data. Besides, the proposed model outperforms conventional machine‐learning algorithms and state‐of‐the‐art deep‐ learning models for better performance by yielding higher accuracy, precision, recall, F1‐score, and low error rate on various fault types such as PV array faults, inverter faults, grid synchronization faults, and environmental faults. …”
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Binaural masking of amplitude modulation by M. Kordus, A. Sęk, J. Kociński

“…The character of this dependence confirms the existence of some form of a frequency selectivity in the modulation rate domain similarly to the audible frequency domain. …”
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Comprehensive Analysis of Radiologic Cancer-Free Status through Various Treatment Approaches in Advanced-Stage Hepatocellular Carcinoma by Keisuke Koroki, Sadahisa Ogasawara, Ryo Izai, Takuya Yonemoto, Teppei Akatsuka, Chihiro Miwa, Sae Yumita, Masanori Inoue, Kazufumi Kobayashi, Soichiro Kiyono, Masato Nakamura, Naoya Kanogawa, Takayuki Kondo, Shingo Nakamoto, Shinichiro Nakada, Nozomu Sakai, Masayuki Yokoyama, Masayuki Ohtsuka, Naoya Kato

“…Analysis of stage progression patterns revealed varying background characteristics at the time of advanced-stage diagnosis, with discrepancies in rCF rates. …”
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Effect of water-saving irrigation on the seasonal emission of CH₄ from paddy field by PENG Shi-zhang, LI Dao-xi, JIAO Xi-yun, HE Yan, YU Jin-yuan

“…There is no statistically significant difference on the mean emission rates of CH₄ between two kinds of irrigation patterns during the ponding to the peak tillering stage of rice (0.05<P=0.87); while CH₄ emission rate from PFCI is significantly lower than that from PFFI during the later tillering to ripening stage of rice (0.00=P<0.05). …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…DLPIM introduces a feature encoder-based generator with a 4-headed self-attention mechanism and a Crop Growth Rate (CGR) guided temporal processor to capture complex time-series patterns while maintaining physiological consistency. …”
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Characteristics of malaria vector populations and transmission before a randomised controlled trial assessing the efficacy of next-generation insecticide-treated nets in Côte d’Ivo... by Ludovic Phamien Ahoua Alou, Alphonsine Amanan Koffi, Edouard Dangbenon, Soromane Camara, Joseph Biggs, Marius Gonse Zoh, Serge Brice Assi, Colette Sih, Benoit Talbot, Manisha Ann Kulkarni, Louisa Alexandra Messenger, Natacha Protopopoff, Jackie Cook, Raphael N’Guessan

“…Plasmodium sporozoite infections were detected by qPCR to estimate infection rates. The entomological inoculation rate was calculated as the product of the mosquito biting rate and the sporozoite infection rate. …”
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Study Comparison Deep Learning and Support Vector Machine for Face Mask Detection by Rani Kurnia Putri, Muhammad Athoillah*

“…In particular, the Deep Learning algorithm achieved an average Sensitivity/Recall rate of 92%, a Specificity rate of 95.44%, a Precision rate of 95.28%, and an Accuracy rate of 93.72%.…”
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Weight loss with real-world doravirine use in the OPERA cohort: a US-based cohort study by Karam Mounzer, Laurence Brunet, Michael Sension, Ricky K. Hsu, Michael D. Osterman, Jennifer S. Fusco, Yohance O. Whiteside, Gregory P. Fusco

“…The study population was characterized and a linear mixed model was used to estimate rates of weight change on DOR. Results were stratified by sex, by patterns of efavirenz (EFV) and/or tenofovir disoproxil fumarate (TDF) use before/after switch to DOR, and by integrase inhibitor (INSTI) & tenofovir alafenamide (TAF) use combination (restricted to individuals who maintained the same combination before/after switch). …”
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Real-world study of first-line immunotherapy combined with chemoradiotherapy in esophageal squamous cell carcinoma by Xiaohan Zhao, Chengang Weng, Wuhan Yang, Hongmei Gao, Hesong Wang, Wenzhao Deng, Shuchai Zhu, Wenbin Shen

“…Primary outcomes included overall survival (OS) and progression-free survival (PFS), with secondary outcomes being objective response rate (ORR), disease control rate (DOR), treatment-related adverse events (trAEs), and treatment failure patterns. …”
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